Guru Hariharan

Guru Hariharan Guru Hariharan is an influencer

Los Gatos, California, United States
23K followers 500+ connections

About

Building CommerceIQ, the industry leading Retail Ecommerce Management platform…

Articles by Guru

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Contributions

Activity

Experience

  • CommerceIQ Graphic

    CommerceIQ

    Palo Alto, California, United States

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    Seattle || San Francisco Bay Area || Bangalore India

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    San Jose, CA

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    Phoenix, Arizona Area

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    Phoenix, Arizona Area and Seattle, WA

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Education

  • The Wharton School Graphic
  • Activities and Societies: Internship, IBM Research, Almaden, CA; Teaching Assistant; Master’s Thesis, Automated Stock Trading and Data Mining; World Cup Robotic Soccer, Italy

    Machine Learning

  • Activities and Societies: Founding President Computer Society of India, Spic Macay cultural society; Internship: Indian Institute of Technology (IIT) Delhi, University of Eastern Finland and Nokia Communications, Finland

Volunteer Experience

  • Equal Craft Graphic

    volunteer

    Equal Craft

    - Present 17 years 7 months

    Economic Empowerment

Publications

  • News Mining Agent for Automated Stock Trading

    LAP LAMBERT Academic Publishing

    Stock market dynamics have drawn the attention of analysts from varied academic disciplines and commercial circles. The advent of online trading and real time facilities in the stock markets has fired a new field of interest in developing automatic trading agents that conduct trades in a relatively autonomous fashion under fixed strategies. This book examines a trading strategy based on analysis of external input in the form of online news. A machine-learning model is built using the reaction…

    Stock market dynamics have drawn the attention of analysts from varied academic disciplines and commercial circles. The advent of online trading and real time facilities in the stock markets has fired a new field of interest in developing automatic trading agents that conduct trades in a relatively autonomous fashion under fixed strategies. This book examines a trading strategy based on analysis of external input in the form of online news. A machine-learning model is built using the reaction of stock markets to news items spread over a period of time. The news-based agent uses this model in real time to predict the price movement of stocks, and place orders accordingly. The performance the agent is evaluated by conducting controlled experiments with proven opponent strategies based on statistical models.

    See publication

Patents

  • Reducing system resource requirements for user interactive and customizable image-based product designs

    Issued US US 20120284594 A1

    A method for assisting a user to design a photo book includes displaying layouts of a first page and a second page of the photo book at the user interface, storing a first snapshot image and a first dynamic render object in association with the first page and a second snapshot image and a second dynamic render object in association with the second page, allowing a user to select the first page for editing by at the user interface, in response to user selection of the first page, representing…

    A method for assisting a user to design a photo book includes displaying layouts of a first page and a second page of the photo book at the user interface, storing a first snapshot image and a first dynamic render object in association with the first page and a second snapshot image and a second dynamic render object in association with the second page, allowing a user to select the first page for editing by at the user interface, in response to user selection of the first page, representing the first page by the first dynamic render object at the user interface, representing the second page by the second snapshot image at the user interface, and allowing the user to vary the first dynamic render object in the first page at the user interface.

    Other inventors
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  • Presenting alternative shopping options

    Issued US US 8635119 B1

    Disclosed are various embodiments for presenting alternative shopping options to a customer. A collection of alternative shopping options is identified in a computing device based upon subject matter of a network page generated by a first one of a plurality of network sites to be presented to a customer. Each of the network sites is configured to sell a plurality of products, and at least one of the alternative shopping options comprises a purchase opportunity associated with a second one of…

    Disclosed are various embodiments for presenting alternative shopping options to a customer. A collection of alternative shopping options is identified in a computing device based upon subject matter of a network page generated by a first one of a plurality of network sites to be presented to a customer. Each of the network sites is configured to sell a plurality of products, and at least one of the alternative shopping options comprises a purchase opportunity associated with a second one of the network sites. An estimate of a benefit for each of the alternative shopping options is determined with respect to the first one of the network sites, and a subset of the alternative shopping options is identified to be included in the network page based at least upon the estimates. The subset of the alternative shopping options is included in the first network page.

    Other inventors
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  • Method and system for using recommendations to prompt seller improvement

    Issued US US8396750

    Amazon Selling Coach

    Disclosed are various embodiments for recommending improvements in merchant network sites. In one example, a plurality of recommendations are stored in a memory accessible by a server, the recommendations being applicable to improve an operation of the network presence of at least one of a plurality of online merchants, and wherein a criteria is associated with each of the recommendations, each criteria determining whether a corresponding one of the recommendations…

    Amazon Selling Coach

    Disclosed are various embodiments for recommending improvements in merchant network sites. In one example, a plurality of recommendations are stored in a memory accessible by a server, the recommendations being applicable to improve an operation of the network presence of at least one of a plurality of online merchants, and wherein a criteria is associated with each of the recommendations, each criteria determining whether a corresponding one of the recommendations applies to the network presence of a respective one of the online merchants. A subset of the recommendations applicable to the network presence of one of the online merchants is identified and an implementation status is determined for each of the subset of recommendations. The recommendations in the subset are presented along with the implementation status of each of the recommendations to an agent of the one of the online merchants.

    Other inventors
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  • PERSONALIZED DELIVERY TIME ESTIMATE SYSTEM

    Filed US U.S. Patent Application Serial No.: 13/436,618

    eBay FAST 'N FREE (personalized delivery) is a proprietary method of estimating delivery times based on the buyer's proximity to the item location, the shipping service selected, the seller's shipping history, and various other factors.

    A personalized delivery estimate system is described. A commercial transaction is generated between a seller and a buyer for an item in an online marketplace. Historical transactions of buyers and sellers in the online marketplace are stored in a storage…

    eBay FAST 'N FREE (personalized delivery) is a proprietary method of estimating delivery times based on the buyer's proximity to the item location, the shipping service selected, the seller's shipping history, and various other factors.

    A personalized delivery estimate system is described. A commercial transaction is generated between a seller and a buyer for an item in an online marketplace. Historical transactions of buyers and sellers in the online marketplace are stored in a storage device. A personalized delivery time estimate is computed for the buyer of the commercial transaction using seller information, buyer information, and item information with the historical transactions of buyers and sellers in the online marketplace.

    Other inventors
    See patent

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